X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=reports%2Faccuracy.R;fp=reports%2Faccuracy.R;h=0000000000000000000000000000000000000000;hb=cc87714e5ad552260857c3abd508155355f10796;hp=d646ae32ef094df7c1829192e57fa180b01165f9;hpb=476a79d4b332d378716e320fdfd95fa3e1d7be9f;p=morpheus.git

diff --git a/reports/accuracy.R b/reports/accuracy.R
deleted file mode 100644
index d646ae3..0000000
--- a/reports/accuracy.R
+++ /dev/null
@@ -1,100 +0,0 @@
-optimBeta <- function(N, n, K, p, beta, b, link, ncores)
-{
-	library(morpheus)
-	res <- multiRun(
-		list(n=n,p=p,beta=beta,b=b,optargs=list(K=K,link=link)),
-		list(
-			# morpheus
-			function(fargs) {
-				library(morpheus)
-				K <- fargs$optargs$K
-				M <- computeMoments(fargs$X, fargs$Y)
-				fargs$optargs$M <- M
-				mu <- computeMu(fargs$X, fargs$Y, fargs$optargs)
-				op <- optimParams(K,link,fargs$optargs)
-				x_init <- c( rep(1/K,K-1), as.double(mu), rep(0,K) )
-				do.call(rbind, op$run(x_init))
-			},
-			# flexmix
-			function(fargs) {
-				library(flexmix)
-				source("../patch_Bettina/FLXMRglm.R")
-				K <- fargs$optargs$K
-				dat <- as.data.frame( cbind(fargs$Y,fargs$X) )
-				fm <- flexmix( cbind(V1, 1-V1) ~ .-V1, data=dat, k=K,
-					model = FLXMRglm(family = binomial(link = link)) )
-				p <- mean(fm@posterior[["scaled"]][,1])
-				out <- refit(fm)
-				beta_b <- sapply( seq_len(K), function(i) {
-					as.double( out@components[[1]][[i]][,1] )
-				} )
-				rbind(p, beta_b[2:nrow(beta_b),], beta_b[1,])
-			} ),
-		prepareArgs = function(fargs, index) {
-			library(morpheus)
-			io = generateSampleIO(fargs$n, fargs$p, fargs$beta, fargs$b, fargs$optargs$link)
-			fargs$X = io$X
-			fargs$Y = io$Y
-			fargs$optargs$K = ncol(fargs$beta)
-			fargs$optargs$M = computeMoments(io$X,io$Y)
-			fargs
-		}, N=N, ncores=ncores, verbose=TRUE)
-	p <- c(p, 1-sum(p))
-	for (i in 1:2)
-		res[[i]] <- alignMatrices(res[[i]], ref=rbind(p,beta,b), ls_mode="exact")
-	res
-}
-
-#model = binomial; default values:
-link = "logit"
-N <- 10
-d <- 2
-n <- 1e4
-ncores <- 1
-
-cmd_args <- commandArgs()
-for (arg in cmd_args)
-{
-	if (substr(arg,1,1)!='-') {
-		spl <- strsplit(arg,'=')[[1]]
-		if (spl[1] == "nc") {
-			ncores <- as.integer(spl[2])
-		} else if (spl[1] == "N") {
-			N <- as.integer(spl[2])
-		} else if (spl[1] == "n") {
-			n <- as.integer(spl[2])
-		} else if (spl[1] == "d") {
-			d <- as.integer(spl[2])
-		} else if (spl[1] == "link") {
-			link <- spl[2]
-		}
-	}
-}
-
-if (d == 2) {
-	K <- 2
-	p <- .5
-	b <- c(-.2, .5)
-	beta <- matrix( c(1,-2, 3,1), ncol=K )
-} else if (d == 5) {
-	K <- 2
-	p <- .5
-	b <- c(-.2, .5)
-	beta <- matrix( c(1,2,-1,0,3, 2,-3,0,1,0), ncol=K )
-} else if (d == 10) {
-	K <- 3
-	p <- c(.3, .3)
-	b <- c(-.2, 0, .5)
-	beta <- matrix( c(1,2,-1,0,3,4,-1,-3,0,2, 2,-3,0,1,0,-1,-4,3,2,0, -1,1,3,-1,0,0,2,0,1,-2), ncol=K )
-} else if (d == 20) {
-	K <- 3
-	p <- c(.3, .3)
-	b <- c(-.2, 0, .5)
-	beta <- matrix( c(1,2,-1,0,3,4,-1,-3,0,2,2,-3,0,1,0,-1,-4,3,2,0, -1,1,3,-1,0,0,2,0,1,-2,1,2,-1,0,3,4,-1,-3,0,2, 2,-3,0,1,0,-1,-4,3,2,0,1,1,2,2,-2,-2,3,1,0,0), ncol=K )
-}
-
-mr <- optimBeta(N, n, K, p, beta, b, link, ncores)
-mr_params <- list("N"=N, "n"=n, "K"=K, "d"=d, "link"=link,
-	"p"=c(p,1-sum(p)), "beta"=beta, "b"=b)
-
-save("mr", "mr_params", file=paste("multirun_",d,"_",link,".RData",sep=""))